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postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and
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learning approaches and related data-driven methods to discover new decoding strategies or even new code structures; jointly optimizing quantum codes and their decoders for realistic noise models and
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researcher and to create the opportunity of further development. Detailed description of the work duties, such as: Develop and implement GPU-accelerated thermal runaway models and numerical methods in OpenFOAM
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of engineered underground hydrogen storage in lined rock caverns (LRCs) excavated in hard crystalline rock. Your tasks are to: - develop coupled thermo-hydro-mechanical numerical models to simulate hydrogen
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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, and efficiency of the turbines. Therefore, understanding when to renovate waterway components in a turbine is key to preserving optimal performance. However, the characteristics and effects
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and numerical simulations. The work duties include contributing to: developing, implementing and optimizing a multi-configuration-based time-dependent Hartree description of bosonic and fermionic many
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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specialization in Applied Mathematics Subject description Foundational mathematical research motivated by applications in one or several of the areas Stochastic control, Optimization under uncertainty, Inverse